Manual rewrite
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- LICENSE.txt +7 -0
- README.md +5 -14
- res/demo.png +0 -3
- data/test-00000-of-00001.parquet → res/parquet/test.parquet +0 -0
- data/train-00000-of-00001.parquet → res/parquet/train.parquet +0 -0
- data/val-00000-of-00001.parquet → res/parquet/val.parquet +0 -0
- res/{αγαμεμνων.pdf → pdf/αγαμεμνων.pdf} +0 -0
- res/{αιας.pdf → pdf/αιας.pdf} +0 -0
- res/{αλκηστις.pdf → pdf/αλκηστις.pdf} +0 -0
- res/{ανδρομαχη.pdf → pdf/ανδρομαχη.pdf} +0 -0
- res/{αντιγονη.pdf → pdf/αντιγονη.pdf} +0 -0
- res/{αχαρνης.pdf → pdf/αχαρνης.pdf} +0 -0
- res/{βατραχοι.pdf → pdf/βατραχοι.pdf} +0 -0
- res/{ειρηνη.pdf → pdf/ειρηνη.pdf} +0 -0
- res/{εκκλησιαζουσες.pdf → pdf/εκκλησιαζουσες.pdf} +0 -0
- res/{επτα_επι_θηβας.pdf → pdf/επτα_επι_θηβας.pdf} +0 -0
- res/{ευμενιδες.pdf → pdf/ευμενιδες.pdf} +0 -0
- res/{ηρακλης_μενωμενος.pdf → pdf/ηρακλης_μενωμενος.pdf} +0 -0
- res/{θεσμοφοριαζουσες.pdf → pdf/θεσμοφοριαζουσες.pdf} +0 -0
- res/{κυκλωψ.pdf → pdf/κυκλωψ.pdf} +0 -0
- res/{λυσιστρατη.pdf → pdf/λυσιστρατη.pdf} +0 -0
- res/{μηδεια.pdf → pdf/μηδεια.pdf} +0 -0
- res/{νεφελες.pdf → pdf/νεφελες.pdf} +0 -0
- res/{οι_ορνιθες.pdf → pdf/οι_ορνιθες.pdf} +0 -0
- res/{οιδιπους_επι_κολωνω.pdf → pdf/οιδιπους_επι_κολωνω.pdf} +0 -0
- res/{οιδιπους_τυραννος.pdf → pdf/οιδιπους_τυραννος.pdf} +0 -0
- res/{ορεστης.pdf → pdf/ορεστης.pdf} +0 -0
- res/{πλουτος.pdf → pdf/πλουτος.pdf} +0 -0
- res/{προμηθευς_δεσμωτης.pdf → pdf/προμηθευς_δεσμωτης.pdf} +0 -0
- res/{χοηφοροι.pdf → pdf/χοηφοροι.pdf} +0 -0
- res/{αγαμεμνων.txt → txt/αγαμεμνων.txt} +0 -0
- res/{αιας.txt → txt/αιας.txt} +0 -0
- res/{αλκηστις.txt → txt/αλκηστις.txt} +0 -0
- res/{ανδρομαχη.txt → txt/ανδρομαχη.txt} +0 -0
- res/{αντιγονη.txt → txt/αντιγονη.txt} +0 -0
- res/{αχαρνης.txt → txt/αχαρνης.txt} +0 -0
- res/{βατραχοι.txt → txt/βατραχοι.txt} +0 -0
- res/{ειρηνη.txt → txt/ειρηνη.txt} +0 -0
- res/{εκκλησιαζουσες.txt → txt/εκκλησιαζουσες.txt} +0 -0
- res/{επτα_επι_θηβας.txt → txt/επτα_επι_θηβας.txt} +0 -0
- res/{ευμενιδες.txt → txt/ευμενιδες.txt} +0 -0
- res/{ηρακλης_μενωμενος.txt → txt/ηρακλης_μενωμενος.txt} +0 -0
- res/{θεσμοφοριαζουσες.txt → txt/θεσμοφοριαζουσες.txt} +0 -0
- res/{κυκλωψ.txt → txt/κυκλωψ.txt} +0 -0
- res/{λυσιστρατη.txt → txt/λυσιστρατη.txt} +0 -0
- res/{μηδεια.txt → txt/μηδεια.txt} +0 -0
- res/{νεφελες.txt → txt/νεφελες.txt} +0 -0
- res/{οι_ορνιθες.txt → txt/οι_ορνιθες.txt} +0 -0
- res/{οιδιπους_επι_κολωνω.txt → txt/οιδιπους_επι_κολωνω.txt} +0 -0
- res/{οιδιπους_τυραννος.txt → txt/οιδιπους_τυραννος.txt} +0 -0
LICENSE.txt
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Copyright (c)
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Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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README.md
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dtype: string
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splits:
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- name: train
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num_bytes: 2173017
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num_examples: 18
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- name: val
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num_bytes: 183032
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num_examples: 2
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- name: test
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num_bytes: 359226
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num_examples: 4
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download_size: 1360491
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dataset_size: 2715275
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configs:
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- config_name: default
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data_files:
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- split: train
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path:
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- split:
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path:
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- split: test
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path:
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license: mit
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task_categories:
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- text-generation
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language:
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- el
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pretty_name: Ancient Greek Theatre
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---
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# Ancient Greek Theatre
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## Description
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The dataset is basically [shakespearefirstfolio](https://huggingface.co/datasets/gvlassis/shakespearefirstfolio), which was itself a better [Tiny Shakespeare](https://huggingface.co/datasets/karpathy/tiny_shakespeare), but for Ancient Greek theatre plays and Modern Greek. Remarkably, and similarly to [Karpathy](https://karpathy.github.io/2015/05/21/rnn-effectiveness/), we observe that language models trained from scratch on this tiny dataset can produce samples that look eerily close to those written by Ancient Greek playwrights. You can see an example below:
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The dataset was collected as follows: I first looked for free Modern Greek translations of complete Ancient Greek plays on [openbook.gr](https://www.openbook.gr/). For every PDF file found, I extracted the text with [pdfly](https://github.com/py-pdf/pdfly). The resulting .txt files undergone several rounds of manual and automatic cleaning via vim and vimscript. I also filled in missing parts (e.g characters, plot) from Wikipedia. This was very laborious, but I stuck with it until I was content with the result. As a final preprocessing step, I applied [NFKD normalization](https://unicode.org/reports/tr15/) via [uconv](https://linux.die.net/man/1/uconv). This lead to a *very* clean (albeit not perfect) collection of 24 Ancient Greek plays. The plays were written by Aristophanes, Euripides, Aeschylus and Sophocles. A complete list of the plays can be found in [./res](https://huggingface.co/datasets/gvlassis/ancient_greek_theatre/tree/main/res).
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## Usage
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import datasets
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dtype: string
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splits:
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- name: train
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num_examples: 18
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- name: val
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num_examples: 2
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- name: test
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num_examples: 4
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configs:
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- config_name: default
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data_files:
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- split: train
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path: res/parquet/train.parquet
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- split: validation
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path: res/parquet/val.parquet
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- split: test
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path: res/parquet/test.parquet
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task_categories:
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- text-generation
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language:
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- el
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---
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# Ancient Greek Theatre
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## Description
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The dataset is basically [shakespearefirstfolio](https://huggingface.co/datasets/gvlassis/shakespearefirstfolio), which was itself a better [Tiny Shakespeare](https://huggingface.co/datasets/karpathy/tiny_shakespeare), but for Ancient Greek theatre plays and Modern Greek. Remarkably, and similarly to [Karpathy](https://karpathy.github.io/2015/05/21/rnn-effectiveness/), we observe that language models trained from scratch on this tiny dataset can produce samples that look eerily close to those written by Ancient Greek playwrights. You can see an example below:
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ΑΝΤΙΓΟΝΗ
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The dataset was collected as follows: I first looked for free Modern Greek translations of complete Ancient Greek plays on [openbook.gr](https://www.openbook.gr/). For every PDF file found, I extracted the text with [pdfly](https://github.com/py-pdf/pdfly). The resulting .txt files undergone several rounds of manual and automatic cleaning via vim and vimscript. I also filled in missing parts (e.g characters, plot) from Wikipedia. This was very laborious, but I stuck with it until I was content with the result. As a final preprocessing step, I applied [NFKD normalization](https://unicode.org/reports/tr15/) via [uconv](https://linux.die.net/man/1/uconv). This lead to a *very* clean (albeit not perfect) collection of 24 Ancient Greek plays. The plays were written by Aristophanes, Euripides, Aeschylus and Sophocles. A complete list of the plays can be found in [./res](https://huggingface.co/datasets/gvlassis/ancient_greek_theatre/tree/main/res).
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## Usage
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import datasets
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res/demo.png
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